Instructions to use nakkati/baseline_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nakkati/baseline_final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nakkati/baseline_final") prompt = "photo of Luffy, the pirate with a straw hat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9daf4442ff824951611b44debcc2596bafbb8fde65683e5b5e986f984bd177ec
- Size of remote file:
- 6.85 MB
- SHA256:
- 909c380ffd094936f3c9675dd96488b872963708f05b0ec901234fdaa31ca955
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